MCP RAG Server

by sylphlab

373 downloads

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Knowledge Base

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# MCP RAG Server  [![NPM Version](https://img.shields.io/npm/v/@sylphlab/mcp-rag-server.svg)](https://www.npmjs.com/package/@sylphlab/mcp-rag-server) [![License](https://img.shields.io/npm/l/@sylphlab/mcp-rag-server.svg)](LICENSE) [![CI…

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Author: sylphlab
Downloads: 373
Categories: Knowledge Base

- Automatic indexing of project files on startup (configurable)
- Supports .txt, .md, code files, .json, .jsonl, .csv
- Hierarchical chunking for Markdown (text and code blocks separated)
- Uses ChromaDB for persistent vector storage
- Local embeddings via Ollama (default: nomic-embed-text)
- Exposes all RAG functions as standard MCP tools

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name MCP RAG Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

From the repository

The recommended setup uses Docker Compose: clone the repository, run docker-compose up -d --build, then pull the default embedding model with docker exec ollama ollama pull nomic-embed-text. Configure environment variables (e.g., CHROMA_URL, OLLAMA_HOST, INDEX_PROJECT_ON_STARTUP) in the docker-compose.yml file. The server exposes five MCP tools (indexDocuments, queryDocuments, removeDocument, removeAllDocuments, listDocuments) for integration with any MCP client.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp rag server": {
            "rag-server-mcp-sylphlab": {
                "command": "docker",
                "args": [
                    "exec",
                    "ollama",
                    "ollama",
                    "pull",
                    "nomic-embed-text"
                ]
            }
        }
    }
}

McpServers

{
    "rag-server-mcp-sylphlab": {
        "command": "docker",
        "args": [
            "exec",
            "ollama",
            "ollama",
            "pull",
            "nomic-embed-text"
        ]
    }
}

MCP RAG Server

mcp-rag-server is a Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG) capabilities for connected LLMs. It indexes documents from your project and provides relevant context to enhance LLM responses.

Built with Google Genkit, ChromaDB, and Ollama.

Quick Start

(Provide a minimal runnable example here, assuming Docker setup is complete)

```bash

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MCP RAG Server

About

Details

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Setting up with Highlight

Setting up with Cursor

JSON

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Setting up with Claude Desktop

JSON

JSON

JSON

Setting up with Windsurf

JSON

JSON

JSON

Setting up with Cline

JSON

JSON

JSON

Setting up with Goose

JSON

JSON

JSON

From the repository

Claude Desktop / Cursor

McpServers

MCP RAG Server

Quick Start

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

MCP RAG Server

Quick Start

Install

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